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Record W2904970329 · doi:10.1109/lpt.2018.2887020

220 W Raman fiber laser at 1.24 μm based on phosphosilicate fiber

2018· article· en· W2904970329 on OpenAlexaff
Jinyan Dong, Lei Zhang, Jiaqi Zhou, Weiwei Pan, Xijia Gu, Yan Feng

Bibliographic record

VenueIEEE Photonics Technology Letters · 2018
Typearticle
Languageen
FieldEngineering
TopicPhotonic Crystal and Fiber Optics
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsMaterials scienceFiber laserLaser linewidthPolarization-maintaining optical fiberDispersion-shifted fiberFiber Bragg gratingOpticsRaman spectroscopyOptoelectronicsLaser power scalingLaserRaman laserPlastic optical fiberSlope efficiencyGraded-index fiberPhotonic-crystal fiberFiberFiber optic sensorRaman scatteringPhysicsComposite material

Abstract

fetched live from OpenAlex

A Raman fiber laser with more than 220 W output at 1.24 μm with phosphorus-doped single-mode fiber as gain medium is reported. The laser consists of a 30 m long piece of fiber and a pair of fiber Bragg gratings with different bandwidth, pumped with a high power 1064 nm Yb fiber laser. The optical conversion efficiency is 64% and the slope efficiency is 71.4%. The full width half-maximum linewidth at the maximum output is 5.6 nm. To the best of our knowledge, the reported power is an order magnitude higher than previous reports in phosphosilicate fiber Raman laser.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.100
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.197
Teacher spread0.190 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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